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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for electronic transitions. As a result...
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
IR Spectrum01:19

IR Spectrum

When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
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IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
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Updated: May 14, 2026

Multimodal Nonlinear Hyperspectral Chemical Imaging Using Line-Scanning Vibrational Sum-Frequency Generation Microscopy
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Multimodal Nonlinear Hyperspectral Chemical Imaging Using Line-Scanning Vibrational Sum-Frequency Generation Microscopy

Published on: December 1, 2023

USF-Net: Infrared-Visible Image Fusion via Unified Semantics and Context Modulation.

Dingding Fu1, Zhongguo Li1, Wenbin Fan2

  • 1School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.

Sensors (Basel, Switzerland)
|May 13, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces USF-Net, a novel approach for infrared-visible image fusion. It effectively preserves shared features and enhances specific ones, improving visual perception in challenging conditions.

Keywords:
context-aware fusionfeature extractioninfrared–visible image fusionsemantic guidancetext-guided supervision

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Area of Science:

  • Computer Vision
  • Image Processing
  • Artificial Intelligence

Background:

  • Infrared-visible image fusion integrates structural, appearance, and thermal data for enhanced perception.
  • Existing methods struggle with feature preservation in challenging conditions (low illumination, noise, etc.).
  • Lack of real fusion labels hinders supervised learning for fusion tasks.

Purpose of the Study:

  • To propose a unified semantic-guided fusion network (USF-Net) for robust infrared-visible image fusion.
  • To jointly model shared and specific features under a unified semantic representation.
  • To dynamically adjust fusion strategies based on imaging contexts.

Main Methods:

  • Developed the Shared Feature Alignment and Enhancement (SFAE) module to strengthen cross-modal feature modeling.
  • Introduced the Specific Feature Reweighting Fusion (SFRF) module for selective enhancement of modality-specific features.
  • Incorporated constructed real fusion labels into the loss function for collaborative training.

Main Results:

  • USF-Net demonstrates superior fusion performance across diverse complex imaging conditions.
  • The method achieves stable and controllable fusion by preserving cross-modal shared features (CMSF) and highlighting single-modal specific features (SMSF).
  • Experimental validation on multiple public datasets confirms the effectiveness of the proposed approach.

Conclusions:

  • USF-Net offers a unified and effective solution for infrared-visible image fusion.
  • The semantic-guided approach and novel modules enable stable and high-quality fusion even in challenging environments.
  • The inclusion of real fusion labels facilitates improved supervised learning for image fusion.